- Why did my data change?
- What’s the difference between a regular and forced update?
- Why does the update cycle take a long time?
- Can I be notified when an update cycle completes?
- Why is Google ECommerce data different from my database?
- How do I troubleshoot a data discrepancy?
Why did my data change?
Chart values can change throughout the day due to new data being synced to your data warehouse. Additionally, values for existing data columns can change due to rechecks. A recheck is a process that looks for changed values in data columns - for example, an order status moving from open to shipped.
There are a few different ways to check the status of your update cycle, depending on the type of user permissions you have.
What’s the difference between a regular and forced update?
Regular updates are scheduled processes while forced updates are manual processes initiated by you. If you have blackout hours - or a time period where Magento BI shouldn’t update your data - forcing an update will start a cycle that doesn’t respect the limitations of the blackout period.
Why does the update cycle take a long time?
A lot of factors can add to an already lengthy update time. Certain replication methods, higher recheck frequencies, and the number of dashboards and charts are just a few contributors. We recommend reconfiguring some of your settings and optimizing your database for analysis to reduce update times.
Can I be notified when an update cycle completes?
Absolutely! If an update is currently in progress, there’ll be a link on the Connections page that you can use to request an email notification once the cycle completes.
Why is Google ECommerce data different from my database?
Discrepancies between Google Analytics and your database can arise for a number of reasons. Tracking not being properly enabled, users visiting incognito, and click events not working correctly are just a few examples. If your revenue and orders doesn’t look quite right, use this article to diagnose the problem.
How do I troubleshoot a data discrepancy?
We know that seeing inconsistent data can be a frustrating experience. Try using our Data Discrepancy Checklist or Data Exports tutorial to diagnose the problem. If you’re still stumped, we’re happy to help sort it out.